2 papers
cs.LG2024
Graph Reasoning Networks
Markus Zopf, Francesco Alesiani
Graph neural networks (GNNs) are the predominant approach for graph-based machine learning. While neural networks have shown great performance at learning useful representations, t…
cs.LG2022
Effective and Interpretable Information Aggregation with Capacity Networks
Markus Zopf
How to aggregate information from multiple instances is a key question multiple instance learning. Prior neural models implement different variants of the well-known encoder-decode…